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A federated learning framework based on transfer learning and knowledge distillation for targeted advertising
The rise of targeted advertising has led to frequent privacy data leaks, as advertisers are reluctant to share information to safeguard their interests. This has resulted in isolated data islands and model heterogeneity challenges. To address these issues, we have proposed a C-means clustering algor...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495998/ https://www.ncbi.nlm.nih.gov/pubmed/37705669 http://dx.doi.org/10.7717/peerj-cs.1496 |